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brain cell

Feature selection using a one dimensional naïve Bayes’ classifier increases the accuracy of support vector machine classification of CDR3 repertoires

The study describes a novel two-stage classification strategy combining a one-dimensional Bayesian classifier with a support vector machine

brain cell

Authors:
Cinelli, M; Sun, YX; Best, K; Heather, JM; Reich-Zeliger, S; Shifrut, E; Friedman, N; Shawe-Taylor, J; Chain, B

Abstract:
The study describes a novel two-stage classification strategy combining a one-dimensional Bayesian classifier with a support vector machine. Using this approach we demonstrate that the frequency of a small number of linear motifs three amino acids in length can accurately identify a CD4 T cell response to ovalbumin against a background response to the complex mixture of antigens which characterize Complete Freund’s Adjuvant.

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